Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
Fuente:
arXiv
Saved in:
| Main Authors: | Qiang, Xianke, Chang, Zheng, Hu, Yun, Liu, Lei, Hamalainen, Timo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
by: Li, Zuguang, et al.
Published: (2024)
by: Li, Zuguang, et al.
Published: (2024)
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
by: Gao, Song, et al.
Published: (2025)
by: Gao, Song, et al.
Published: (2025)
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
by: Zheng, Bokeng, et al.
Published: (2025)
by: Zheng, Bokeng, et al.
Published: (2025)
SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
by: Lin, Zehang, et al.
Published: (2025)
by: Lin, Zehang, et al.
Published: (2025)
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
by: Zhu, Guangyu, et al.
Published: (2024)
by: Zhu, Guangyu, et al.
Published: (2024)
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
by: Yan, Zijiang, et al.
Published: (2024)
by: Yan, Zijiang, et al.
Published: (2024)
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
by: Yan, Zijiang, et al.
Published: (2024)
by: Yan, Zijiang, et al.
Published: (2024)
Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing
by: Sun, Zekai, et al.
Published: (2025)
by: Sun, Zekai, et al.
Published: (2025)
PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
by: Feng, Wei, et al.
Published: (2026)
by: Feng, Wei, et al.
Published: (2026)
Mobility-Aware Federated Self-supervised Learning in Vehicular Network
by: Gu, Xueying, et al.
Published: (2024)
by: Gu, Xueying, et al.
Published: (2024)
HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
by: Fang, Zihan, et al.
Published: (2026)
by: Fang, Zihan, et al.
Published: (2026)
SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments
by: Okada, Yuya, et al.
Published: (2025)
by: Okada, Yuya, et al.
Published: (2025)
Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
by: Hu, Tianlun, et al.
Published: (2024)
by: Hu, Tianlun, et al.
Published: (2024)
Revisiting Outage for Edge Inference Systems
by: Wang, Zhanwei, et al.
Published: (2025)
by: Wang, Zhanwei, et al.
Published: (2025)
Distributed Swarm Learning for Edge Internet of Things
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Federated Learning over a Wireless Network: Distributed User Selection through Random Access
by: Sun, Chen, et al.
Published: (2023)
by: Sun, Chen, et al.
Published: (2023)
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
by: Qu, Guanqiao, et al.
Published: (2024)
by: Qu, Guanqiao, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
by: Fox, Andrea, et al.
Published: (2025)
by: Fox, Andrea, et al.
Published: (2025)
Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning
by: Long, Zijian, et al.
Published: (2025)
by: Long, Zijian, et al.
Published: (2025)
Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
by: Zhang, Jierui, et al.
Published: (2026)
by: Zhang, Jierui, et al.
Published: (2026)
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
by: Xie, Yu, et al.
Published: (2024)
by: Xie, Yu, et al.
Published: (2024)
Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
by: Lin, Zheng, et al.
Published: (2024)
by: Lin, Zheng, et al.
Published: (2024)
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization
by: Zhang, Xinyuan, et al.
Published: (2024)
by: Zhang, Xinyuan, et al.
Published: (2024)
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
by: Zeydan, Engin, et al.
Published: (2025)
by: Zeydan, Engin, et al.
Published: (2025)
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
by: Xie, Yu, et al.
Published: (2024)
by: Xie, Yu, et al.
Published: (2024)
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
by: Zhang, Jierui, et al.
Published: (2024)
by: Zhang, Jierui, et al.
Published: (2024)
Federated Continual Learning for Edge-AI: A Comprehensive Survey
by: Wang, Zi, et al.
Published: (2024)
by: Wang, Zi, et al.
Published: (2024)
Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
by: Abdisarabshali, Payam, et al.
Published: (2023)
by: Abdisarabshali, Payam, et al.
Published: (2023)
Edge Learning via Federated Split Decision Transformers for Metaverse Resource Allocation
by: Temiz, Fatih, et al.
Published: (2026)
by: Temiz, Fatih, et al.
Published: (2026)
Complexity-Driven CNN Compression for Resource-constrained Edge AI
by: Zawish, Muhammad, et al.
Published: (2022)
by: Zawish, Muhammad, et al.
Published: (2022)
Online Learning-based Adaptive Beam Switching for 6G Networks: Enhancing Efficiency and Resilience
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2025)
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2025)
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
by: Wang, Xubin, et al.
Published: (2025)
by: Wang, Xubin, et al.
Published: (2025)
MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models
by: Jin, Lyudong, et al.
Published: (2025)
by: Jin, Lyudong, et al.
Published: (2025)
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
by: Lourenço, Afonso, et al.
Published: (2025)
by: Lourenço, Afonso, et al.
Published: (2025)
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
by: Abdisarabshali, Payam, et al.
Published: (2024)
by: Abdisarabshali, Payam, et al.
Published: (2024)
Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning
by: Fu, Weiqi, et al.
Published: (2024)
by: Fu, Weiqi, et al.
Published: (2024)
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
by: Zhang, Zongyuan, et al.
Published: (2025)
by: Zhang, Zongyuan, et al.
Published: (2025)
Fine-Grained AI Model Caching and Downloading With Coordinated Multipoint Broadcasting in Multi-Cell Edge Networks
by: Fu, Yang, et al.
Published: (2025)
by: Fu, Yang, et al.
Published: (2025)
Targeted Attacks and Defenses for Distributed Federated Learning in Vehicular Networks
by: Demir, Utku, et al.
Published: (2025)
by: Demir, Utku, et al.
Published: (2025)
Similar Items
-
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
by: Li, Zuguang, et al.
Published: (2024) -
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
by: Gao, Song, et al.
Published: (2025) -
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
by: Zheng, Bokeng, et al.
Published: (2025) -
SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
by: Lin, Zehang, et al.
Published: (2025) -
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
by: Zhu, Guangyu, et al.
Published: (2024)